By Pekka Abrahamsson (auth.), John Krogstie, Andreas Opdahl, Guttorm Sindre (eds.)
This booklet constitutes the refereed complaints of the nineteenth foreign convention on complicated details platforms Engineering, CAiSE 2007, held in Trondheim, Norway in June 2007.
The 39 revised complete papers offered including 1 keynote speak have been conscientiously reviewed and chosen from 301 submissions. The papers are prepared in topical sections on ontologies, prolonged companies, info integration, service-oriented structure, strategic alignment, specifications, approach modeling, approach engineering, novel purposes, participative modeling, and process-aware details systems.
Read Online or Download Advanced Information Systems Engineering: 19th International Conference, CAiSE 2007, Trondheim, Norway, June 11-15, 2007. Proceedings PDF
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Additional resources for Advanced Information Systems Engineering: 19th International Conference, CAiSE 2007, Trondheim, Norway, June 11-15, 2007. Proceedings
For every slot so contained in w but not in x, we append an DeleteSlot(w, so) to the edit script. Edge Changing Phase. Let x be the current node when traversing vnew in topological order and w its partner. Let Y be the set of parents of x, V be the set of parents of w, each of them combined with the respective edge type from parent to child. We now have to check, whether every node in Y has a partner in V and vice versa, and whether all edges are of the correct edge type. type) to the edit script.
Ontologies do not have such an ordering, but a deﬁned order dramatically reduces the complexity during the matching. Therefore, we ﬁrst sort the nodes’ children alphabetically by their name. Then, for each of the graphs we build a list of leaves, traversing the graph from left to right. From these two node lists we build the Longest Common Subsequence, with the function similar(x, y) as equality check. This gives a set of matchings M. A matching is a pair of nodes (ni , nj ), with ni ∈ vold and nj ∈ vnew which represent the same concept in both versions.
The overall complexity for our algorithm is the combination of matching, renaming and diﬀerence detection and thus O(ni · nl · d + nl · d2 ) ∪ O(nl · d2 ) ∪ O(n·p+d·p). As O(nl ·d2 ) ⊂ O(n2 ·d+n·d2 ), O(n·p+d·p) ⊂ O(n2 ·d+n·d2 ) and O(ni · nl · d + nl · d2 ) ⊂ O(n2 · d + n · d2 ), the overall complexity is O(n2 · d + n · d2 ). Change Detection in Ontologies Using DAG Comparison A IS A RootV B IS A C IS A EE M IS A PART OF IS A F G PART OF IS A PART OF PART OF H C K USE B IS A L PART OF EE D IS A M IS A J L vroot vroot A IS A IS A OWN I vroot K BELONG_TO : H USE : L IS A BELONG_TO OWN USE USED_BY vroot IS A PART OF D 31 IS A PART OF IS A PART OF F G H USE : G USED_BY : F OWN : K PART OF IS A PART OF I J OWN : M Fig.